ultralytics 8.3.65 Rockchip RKNN Integration for Ultralytics YOLO models (#16308)
Signed-off-by: Francesco Mattioli <Francesco.mttl@gmail.com> Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: Burhan <62214284+Burhan-Q@users.noreply.github.com> Co-authored-by: Lakshantha Dissanayake <lakshantha@ultralytics.com> Co-authored-by: Burhan <Burhan-Q@users.noreply.github.com> Co-authored-by: Laughing-q <1185102784@qq.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com> Co-authored-by: Ultralytics Assistant <135830346+UltralyticsAssistant@users.noreply.github.com> Co-authored-by: Lakshantha Dissanayake <lakshanthad@yahoo.com> Co-authored-by: Francesco Mattioli <Francesco.mttl@gmail.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@ -210,7 +210,7 @@ def test_export_ncnn():
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@pytest.mark.skipif(True, reason="Test disabled as keras and tensorflow version conflicts with tflite export.")
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@pytest.mark.skipif(not LINUX or MACOS, reason="Skipping test on Windows and Macos")
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def test_export_imx():
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"""Test YOLOv8n exports to IMX format."""
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"""Test YOLO exports to IMX format."""
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model = YOLO("yolov8n.pt")
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file = model.export(format="imx", imgsz=32)
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YOLO(file)(SOURCE, imgsz=32)
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